most citedSpectrum-BERT: Pre-training of Deep Bidirectional Transformers for Spectral Classification of Chinese Liquors

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cs.LG2024

GTC: GNN-Transformer Co-contrastive Learning for Self-supervised Heterogeneous Graph Representation

Yundong Sun, Dongjie Zhu, Yansong Wang +1

Graph Neural Networks (GNNs) have emerged as the most powerful weapon for various graph tasks due to the message-passing mechanism's great local information aggregation ability. Ho…

cs.LG2022★ 1 cited

Spectrum-BERT: Pre-training of Deep Bidirectional Transformers for Spectral Classification of Chinese Liquors

Yansong Wang, Yundong Sun, Yansheng Fu +2

Spectral detection technology, as a non-invasive method for rapid detection of substances, combined with deep learning algorithms, has been widely used in food detection. However,…

cs.LG2022

SCAI: A Spectral data Classification framework with Adaptive Inference for the IoT platform

Yundong Sun, Dongjie Zhu, Haiwen Du +2

Currently, it is a hot research topic to realize accurate, efficient, and real-time identification of massive spectral data with the help of deep learning and IoT technology. Deep…